Notification bot for topics of interest on voice communication devices

ABSTRACT

A method and system are provided. The method includes automatically monitoring one or more voice communication sessions occurring on multiple communication devices to transcribe into text, by a processor-based voice-to-text transcriber, voices uttered by two or more respective participants other than a user in each of the voice communications sessions. The method further includes comparing, for each of the voice communication sessions, the topic of interest to conversation features derived from the text to detect a match there between. The method also includes providing the user with a summary of each of the voice communication sessions for which the match has been detected by said comparing step, the summary being based on the text. The method additionally includes automatically connecting the user to at least one of the voice communication sessions for which the summary thereof has been provided to the user.

BACKGROUND Technical Field

The present invention relates generally to information processing and,in particular, to a notification bot for topics of interest on voicecommunication devices.

Description of the Related Art

Business people spend an ever increasing amount of time on the phone asthe locations where their work is performed is constantly expanding.Moreover, there are times when professionals need to be on multiplecalls. However, in many cases, only a small percentage of a call appliesto a particular person. Accordingly, a significant amount of money iswasted in cases where a person is involved in many calls, but for only asmall part of each call. Thus, there is a need for reducing unnecessarycosts (pecuniary, time, etc.) associated with voice communications.

SUMMARY

According to an aspect of the present principles, a method is provided.The method includes automatically monitoring one or more voicecommunication sessions occurring on multiple communication devices totranscribe into text, by a processor-based voice-to-text transcriber,voices uttered by two or more respective participants other than a userin each of the one or more voice communications sessions. The methodfurther includes comparing, for each of the one or more voicecommunication sessions, the topic of interest to conversation featuresderived from the text to detect a match there between. The method alsoincludes providing the user with a summary of each of the one or morevoice communication sessions for which the match has been detected bysaid comparing step, the summary being based on the text. The methodadditionally includes automatically connecting the user to at least oneof the one or more voice communication sessions for which the summarythereof has been provided to the user.

According to another aspect of the present principles, a computerprogram product is provided for user notification in voicecommunications. The computer program product includes a non-transitorycomputer readable storage medium having program instructions embodiedtherewith. The program instructions are executable by a computer tocause the computer to perform a method. The method includesautomatically monitoring one or more voice communication sessionsoccurring on multiple communication devices to transcribe into text, bya processor-based voice-to-text transcriber, voices uttered by two ormore respective participants other than a user in each of the one ormore voice communications sessions. The method further includescomparing, for each of the one or more voice communication sessions, thetopic of interest to conversation features derived from the text todetect a match there between. The method also includes providing theuser with a summary of each of the one or more voice communicationsessions for which the match has been detected by said comparing step,the summary being based on the text. The method additionally includesautomatically connecting the user to at least one of the one or morevoice communication sessions for which the summary thereof has beenprovided to the user.

According to yet another aspect of the present principles, a system isprovided. The system includes a server, having a processor, a memory,and a network adapter. The server is configured to automatically monitorone or more voice communication sessions occurring on multiplecommunication devices to transcribe into text voices uttered by two ormore respective participants other than a user in each of the one ormore voice communications sessions. The server is further configured tocompare, for each of the one or more voice communication sessions, thetopic of interest to conversation features derived from the text todetect a match there between. The server is also configured to providethe user with a summary of each of the one or more voice communicationsessions for which the match has been detected by said comparing step,the summary being based on the text. The server is additionallyconfigured to automatically connect the user to at least one of the oneor more voice communication sessions for which the summary thereof hasbeen provided to the user.

These and other features and advantages will become apparent from thefollowing detailed description of illustrative embodiments thereof,which is to be read in connection with the accompanying drawings.

BRIEF DESCRIPTION OF DRAWINGS

The disclosure will provide details in the following description ofpreferred embodiments with reference to the following figures wherein:

FIG. 1 shows an exemplary processing system to which the presentprinciples may be applied, in accordance with an embodiment of thepresent principles;

FIG. 2 shows an exemplary system for providing a notification of topicsof interest on voice communication devices, in accordance with anembodiment of the present principles;

FIGS. 3-4 show an exemplary method for providing a notification oftopics of interest on voice communication devices, in accordance with anembodiment of the present principles;

FIGS. 5-6 show an exemplary method for providing a notification oftopics of interest on voice communication devices, in accordance with anembodiment of the present principles;

FIG. 7 shows an exemplary cloud computing environment, in accordancewith an embodiment of the present principles; and

FIG. 8 shows an exemplary set of functional abstraction layers providedby the cloud computing environment shown in FIG. 7, in accordance withan embodiment of the present principles.

DETAILED DESCRIPTION

The present principles are directed to a notification bot for topics ofinterest on voice communication devices.

In an embodiment, the present principles implement live natural languageprocessing to transcribe calls to text. That text is then monitored forspecific topics of interest. In an embodiment, the present principlescan include the following two aspects. First, the user inputs topics ofinterest. If an agenda for the call is available, then the agenda istracked (that is, matched to the call) based on the text analytics ofthe transcribed call. When the topic of interest is near, the user isnotified to join the call and a summary of the meeting up to that pointis delivered via text message, email, and/or so forth so that the usercan quickly scan the summary for relevant points and catch up. Second,the present principles can be used to monitor one or more calls. Theuser enters topics of interests. An agenda may or may not exist for themeetings. When topics related to the inputted topic of interests aredetected in one or more calls, a message is sent to the user with asummary (e.g., of the last n minutes of the call) and the call isautomatically connected via VoIP or other communication/telephonytechnology. The present principles can enable a single user to jumpbetween calls and listen to areas of interest and contribute to each ofthe calls as needed.

In an embodiment, the present principles can be applied to any voiceinput that a user wishes to only reference a subset of the overall voiceinput.

FIG. 1 shows an exemplary processing system 100 to which the presentprinciples may be applied, in accordance with an embodiment of thepresent principles. The processing system 100 includes at least oneprocessor (CPU) 104 operatively coupled to other components via a systembus 102. A cache 106, a Read Only Memory (ROM) 108, a Random AccessMemory (RAM) 110, an input/output (I/O) adapter 120, a sound adapter130, a network adapter 140, a user interface adapter 150, and a displayadapter 160, are operatively coupled to the system bus 102.

A first storage device 122 and a second storage device 124 areoperatively coupled to system bus 102 by the I/O adapter 120. Thestorage devices 122 and 124 can be any of a disk storage device (e.g., amagnetic or optical disk storage device), a solid state magnetic device,and so forth. The storage devices 122 and 124 can be the same type ofstorage device or different types of storage devices.

A speaker 132 is operatively coupled to system bus 102 by the soundadapter 130. A transceiver 142 is operatively coupled to system bus 102by network adapter 140. A display device 162 is operatively coupled tosystem bus 102 by display adapter 160.

A first user input device 152, a second user input device 154, and athird user input device 156 are operatively coupled to system bus 102 byuser interface adapter 150. The user input devices 152, 154, and 156 canbe any of a keyboard, a mouse, a keypad, an image capture device, amotion sensing device, a microphone, a device incorporating thefunctionality of at least two of the preceding devices, and so forth. Ofcourse, other types of input devices can also be used, while maintainingthe spirit of the present principles. The user input devices 152, 154,and 156 can be the same type of user input device or different types ofuser input devices. The user input devices 152, 154, and 156 are used toinput and output information to and from system 100.

Of course, the processing system 100 may also include other elements(not shown), as readily contemplated by one of skill in the art, as wellas omit certain elements. For example, various other input devicesand/or output devices can be included in processing system 100,depending upon the particular implementation of the same, as readilyunderstood by one of ordinary skill in the art. For example, varioustypes of wireless and/or wired input and/or output devices can be used.Moreover, additional processors, controllers, memories, and so forth, invarious configurations can also be utilized as readily appreciated byone of ordinary skill in the art. These and other variations of theprocessing system 100 are readily contemplated by one of ordinary skillin the art given the teachings of the present principles providedherein.

Moreover, it is to be appreciated that system 200 described below withrespect to FIG. 2 is a system for implementing respective embodiments ofthe present principles. Part or all of processing system 100 may beimplemented in one or more of the elements of system 200.

Further, it is to be appreciated that processing system 100 may performat least part of the method described herein including, for example, atleast part of method 300 of FIGS. 3-4 and/or at least part of method 500of FIGS. 5-6. Similarly, part or all of system 200 may be used toperform at least part of method 300 of FIGS. 3-4 and/or at least part ofmethod 500 of FIGS. 5-6.

FIG. 2 shows an exemplary system 200 for providing a notification oftopics of interest on voice communication devices, in accordance with anembodiment of the present principles.

The system 200 includes a voice communication device 210 and a server220. The voice communication device 210 corresponds to a user of system200 and is hereinafter interchangeably referred to as “usercommunication device” 210.

It is to be appreciated that some of the functions/processes describedherein relating to system 200 can be implemented using a cloudconfiguration (see, e.g., FIGS. 7-8). For example, the functionsdescribed below relating to generating summaries of voice communicationsessions and so forth can be implemented in the cloud, depending uponthe specific implementation of the present principles. Suchimplementations can depend on the resources available on the usercommunication device 210, as well as the resources on other voicecommunication devices to which the user's communication device mayconnect to. These and other variations of system 200 as well as thedevices that interface therewith are readily determined by one ofordinary skill in the art given the teachings of the present principlesprovided herein, while maintaining the spirit of the present principles.

The user communication device 210 can be any type of voice communicationdevice including mobile and stationary voice communication devices. Forexample, the user communication device can be a mobile telephone (e.g.,smart phone), laptop, tablet, desktop computer, a call conferencingdevice, and so forth. As is known, the preceding and other devices areable to provide voice communication for a user thereof. In theembodiment of FIG. 2, the user communication device 210 is implementedas a smart phone for the sake of illustration.

The user communication device 210 at least includes a processor, amemory, a speaker, a display, and structural devices for enablingcommunication (network adapters and so forth). Additionally, in anembodiment, the server 210 at least includes a processor, a memory, andstructural devices for enabling communication (network adapters and soforth). As these elements are shown in FIG. 1, reiterating as notedabove that elements in FIG. 1 can also be in any of the elements ofsystem 200, such elements are omitted from FIG. 2 for the sake ofbrevity and clarity.

The server 220 further includes a voice-to-text transcriber 221. Thevoice-to-text transcriber 221 includes a natural language processor 221Afor using natural language processing to generate the resultanttranscriptions from voice inputs.

The voice communication device 210 is configured to engage in voicecommunication sessions with other voice communication devices.Accordingly, the operating environment 299 of the voice communicationdevice 210 includes one or more other voice communication devices(collectively denoted by the figure reference numeral 277, andinterchangeably referred to as “other communication devices” in short).In the embodiment of FIG. 2, the one or more other communication devices277 include a smartphone 277A, a smartphone 277B, a smartphone 277C, adesktop computer 277D, a call conferencing device 277E, and a callconferencing device 277F, for the sake of illustration. Of course, anyother devices capable of voice communication sessions can also be used,while maintaining the spirit of the present principles. For the sake ofillustration, a first voice communication session can occur betweendevices 277A and 277B, while a second voice communication session canoccur between devices 277C, 277D, and 277E. Of course, the precedingassignments of parties to the voice communication sessions are merelyarbitrary and, thus, other assignments can also be used. In anembodiment, the user can be join these voice communication sessions at atime that is most opportune for the user, that is, based on the user'sinterest and/or other criteria, such that the user does not have be apart of the entirety of each of the voice communication sessions.

The communication sessions can occur over one or more networks(collectively denoted by the figure reference numeral 288). The one ormore networks 288 can include any type of networks such as, for example,but not limited to, cellular networks, local area networks, wide areanetworks, personal area networks, wireless networks, wired networks, anycombination of the preceding, and so forth. In the embodiment of FIG. 2,the one or more networks 288 are implemented by one or more wirelessnetworks for the sake of illustration.

The server 220 is configured to receive information for enablingconnecting to each of the other participants of the voice communicationsessions in which the user can potentially participate.

The server 220 is configured to receive one or more topics of interestto the user and agendas for the voice communication sessions.

The server 220 is configured to transcribe, using the voice-to-texttranscriber 221 that, in turn, uses the natural language processor 221A,to generate transcriptions (text) of the voices in the voicecommunication sessions (which will not yet or may not ever include theuser as a participant).

Based upon analytics determined from the text, the server 220 cangenerate predictions of when a topic of interest(s) will be broughtduring each of the voice communication sessions. The user can beprovided a summary of the conversations in these voice communicationssession prior to the user joining the same in order for the user decidewhether or not the user wants to join the voice communication sessions.In some embodiments, the user will automatically be connected to thesevoice communication sessions, while in other embodiments, the user canspecifically request a respective connection to these voicecommunication session.

Further details regarding the operation of the involved devicesincluding devices 210, 220, and 277 will be further described below withrespect to FIGS. 3-6 and also FIGS. 7-8, depending upon theimplementation.

FIGS. 3-4 show an exemplary method 300 for providing a notification oftopics of interest on voice communication devices, in accordance with anembodiment of the present principles.

At step 305, receive topics of interest selected by a user.

At step 310, receive, if available, an agenda of each of one or morevoice communication sessions in which the user intends to be aparticipant. Each of the voice communication sessions can involve threeor more participants (including the user, should the user ultimatelyjoin the voice communication session) and three or more communicationdevices (including the user's communication device, should the userultimately join the voice communication session), each voicecommunication session corresponding to a separate conversation, meeting,and/or so forth.

At step 315, receive a telephone number or other communication enablinginformation (Internet Protocol (IP) address, Media Access Control (MAC)address, and so forth) (hereinafter collectively referred to as “voicecommunication session enabling information”) for enabling connecting toeach of the other participants of the one or more voice communicationsessions. As is known, such information can pertain to the devicecorresponding to a respective participant.

At step 320, connect a voice-to-text transcriber (hereinafter “texttranscriber” in short) to each of the voice communication sessions.

At step 325, transcribe the voices in each of the voice communicationssessions into text. As is evident, at least two participants other thanthe user are engaged in each of the voice communications session inorder for a conversation to occur.

At step 330, derive conversation features (e.g., patterns, context, andsentiment) of each of the voice communication sessions using textanalytics.

At step 335, for each of the voice communication sessions, compare thetopics of interest to one or more of the conversation features (e.g.,(i) the patterns, (ii) the context, and (iii) the sentiment) to detect amatch there between. In an embodiment, step 335 can further include inthe comparison the agenda received at step 310, if the agenda wasavailable. If a match exists, proceed to step 340. Otherwise, the methodis terminated.

At step 340, generate a prediction, for each of the voice communicationsessions, of when to notify the user of the voice communicationsessions, that is, when to send a summary of the voice communicationsessions to the user (per step 345 below), based on predeterminedcriteria.

The predetermined criteria can include one or more of (i) the topics ofinterest received at step 305, (ii) the agenda received at step 310,(iii) the patterns derived at step 335, (iv) the context derived at step335, (v) the sentiment derived at step 335, (vi) the speed at which thevoice communication session is progressing, and (vii) voicecommunication session history involving the same participants. As isevident to one of ordinary skill in the art, step 340 can involvedetermining the speed at which the voice communication session isprogressing and accessing from a database of other repository a voicecommunication history involving the same participants. While some of thepreceding criteria are mentioned in singular form, more than one(plurals) of the same can be used.

In an embodiment, the prediction is generated with respect to a durationbefore a topic of interest is to be discussed in the voice communicationsession. In an embodiment, the prediction is generated to allow the userenough time to review the summary prior to being connected to the voicecommunication session.

At step 345, for each of the voice communication sessions having a matchper step 335, send a message to the user with a text summary of theconversation therein to that point, minus n minutes depending on theuser's request. That is, the n minutes correspond to the latency fromthe end time at which the summary is taken to the time the summary isprovided to the user. The summary allows to use to become aware of whois participating in the voice communication sessions and other relevantinformation (e.g., but not limited to, patterns, context, sentiment, andso forth).

At step 350, determine if a connect request has been received from theuser for any of the voice communication sessions having a match per step335. If so, proceed to step 355. Otherwise, the method is terminated.

At step 355, connect the user to each of the voice communicationsessions, responsive to receiving a connected request therefor from theuser (as determined per step 350).

In an embodiment, step 355 includes step 355A.

At step 355A, switch (jump) the (single) user between two or more voicecommunication sessions to allow the user to participate in only theareas of interest to the user (as received from the user at step 310)or, at most, a subset of the overall voice communication session. Theswitching can be done, responsive to receiving a connect request fromthe user for the two or more communication sessions. It is to beappreciated that despite the fact that the user is jumping between twoor more voice communication sessions, such sessions can be occurringsimultaneously (with the user jumping into each one at different timesor even possibly overlapping times).

FIGS. 5-6 show an exemplary method 500 for providing a notification oftopics of interest on voice communication devices, in accordance with anembodiment of the present principles.

At step 505, receive topics of interest selected by a user.

At step 510, receive, if available, an agenda of each of one or morevoice communication sessions in which the user intends to be aparticipant. Each of the voice communication sessions can involve threeor more participants (including the user, should the user ultimatelyjoin the voice communication session) and three or more communicationdevices (including the user's communication device, should the userultimately join the voice communication session), each voicecommunication session corresponding to a separate conversation, meeting,and/or so forth.

At step 515, receive a telephone number or other communication enablinginformation (Internet Protocol (IP) address, Media Access Control (MAC)address, and so forth) (hereinafter collectively referred to as “voicecommunication session enabling information”) for enabling connecting toeach of the other participants of the one or more voice communicationsessions. As is known, such information can pertain to the devicecorresponding to a respective participant.

At step 520, automatically monitor each of the voice communications, byconnecting a voice-to-text transcriber (hereinafter “text transcriber”in short) to each of the voice communication sessions, and transcribingthe voices in each of the voice communications sessions into text. As isevident, at least two participants other than the user are engaged ineach of the voice communications session in order for a conversation tooccur.

At step 525, derive conversation features (e.g., patterns, context, andsentiment) of each of the voice communication sessions using textanalytics.

At step 530, for each of the voice communication sessions, compare thetopics of interest to one or more of the conversation features (e.g.,(i) the patterns, (ii) the context, and (iii) the sentiment) to detect amatch there between. In an embodiment, step 530 can further include inthe comparison the agenda received at step 510, if the agenda wasavailable. If a match exists, proceed to step 535. Otherwise, the methodis terminated.

At step 535, generate a prediction, for each of the voice communicationsessions, of when to notify the user of the voice communicationsessions, that is, when to send a summary of the voice communicationsessions to the user (per step 540 below), based on predeterminedcriteria.

The predetermined criteria can include one or more of (i) the topics ofinterest received at step 505, (ii) the agenda received at step 510,(iii) the patterns derived at step 530, (iv) the context derived at step530, (v) the sentiment derived at step 530, (vi) the speed at which thevoice communication session is progressing, and (vii) voicecommunication session history involving the same participants. As isevident to one of ordinary skill in the art, step 535 can involvedetermining the speed at which the voice communication session isprogressing and accessing from a database of other repository a voicecommunication history involving the same participants. While some of thepreceding criteria are mentioned in singular form, more than one(plurals) of the same can be used.

In an embodiment, the prediction is generated with respect to a durationbefore a topic of interest is to be discussed in the voice communicationsession. In an embodiment, the prediction is generated to allow the userenough time to review the summary prior to being connected to the voicecommunication session.

At step 540, for each of the voice communication sessions having a matchper step 530, send a message to the user with a text summary of theconversation therein to that point, minus n minutes depending on theuser's request. That is, the n minutes correspond to the latency fromthe end time at which the summary is taken to the time the summary isprovided to the user. The summary allows to use to become aware of whois participating in the voice communication sessions and other relevantinformation (e.g., but not limited to, patterns, context, sentiment, andso forth).

At step 545, automatically connect the user to each of the voicecommunications sessions. The connections can be made to coincide withthe predictions.

In an embodiment, step 545 includes step 545A.

At step 545A, automatically switch (jump) the (single) user between twoor more voice communication sessions to allow the user to participate inonly the areas of interest to the user (as received from the user atstep 510) or, at most, a subset of the overall voice communicationsession. It is to be appreciated that despite the fact that the user isjumping between two or more voice communication sessions, such sessionscan be occurring simultaneously (with the user jumping into each one atdifferent times or even possibly overlapping times).

As used herein with respect to method 300 of FIGS. 3-4 and method 500 ofFIGS. 5-6, the phrase “connecting the user to voice communicationsessions” and similar phrases can involve actually connecting the userto the other participants, or initiating the connecting, for example, byproviding the user device with, or causing the user to be provided with,connecting information and/or connecting options (e.g., a button,widget, or other user interface on the user's device that would causethe connection), managing the connecting of the user's device, and soforth. Regarding managing the connecting of the user's device, the samecan involve, for example, timing the connecting with the bringing up ofthe topic of interest (e.g., based on the prediction per step 340, theduration relating to the prediction as per step 340, a user request toconnect per step 350, etc.), and so forth. Thus, in some embodiments,the server 220 can act as a call manager and/or at least perform any ofthe preceding described functions. In other cases, the user device 210can manage the connecting. These and other variations of the presentprinciples are readily determined by one of ordinary skill in the artgiven the teachings of the present principles provided herein, whilemaintaining the spirit of the present principles.

A brief description will now be given regarding some of the manyattendant advantages provided by the present principles.

One advantage is a reduction in the cost of wasted time on these calls.For example, financial news reporters may need to be on multipleearnings calls. In such a case, the present principles can assist onereporter to report on multiple concurrent calls.

Another advantage is a reduction in the pecuniary cost associated withspending time on calls for which a user only needs to be a part of.

These and other advantages are readily determined by one of ordinaryskill in the art given the teachings of the present principles providedherein, while maintaining the spirit of the present principles.

It is to be understood that although this disclosure includes a detaileddescription on cloud computing, implementation of the teachings recitedherein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g., networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported, providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure that includes anetwork of interconnected nodes.

Referring now to FIG. 7, illustrative cloud computing environment 750 isdepicted. As shown, cloud computing environment 750 includes one or morecloud computing nodes 710 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 754A, desktop computer 754B, laptop computer 754C,and/or automobile computer system 754N may communicate. Nodes 710 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 750 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 754A-Nshown in FIG. 7 are intended to be illustrative only and that computingnodes 710 and cloud computing environment 750 can communicate with anytype of computerized device over any type of network and/or networkaddressable connection (e.g., using a web browser).

Referring now to FIG. 8, a set of functional abstraction layers providedby cloud computing environment 750 (FIG. 7) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 8 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 860 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 861;RISC (Reduced Instruction Set Computer) architecture based servers 862;servers 863; blade servers 864; storage devices 865; and networks andnetworking components 866. In some embodiments, software componentsinclude network application server software 867 and database software868.

Virtualization layer 870 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers871; virtual storage 872; virtual networks 873, including virtualprivate networks; virtual applications and operating systems 874; andvirtual clients 875.

In one example, management layer 880 may provide the functions describedbelow. Resource provisioning 881 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 882provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may include applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 883 provides access to the cloud computing environment forconsumers and system administrators. Service level management 884provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 885 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 890 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 891; software development and lifecycle management 892;virtual classroom education delivery 893; data analytics processing 894;transaction processing 895; and notification bot for topics of intereston voice communication devices 896.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Java, Smalltalk, C++ or the like,and conventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

Reference in the specification to “one embodiment” or “an embodiment” ofthe present principles, as well as other variations thereof, means thata particular feature, structure, characteristic, and so forth describedin connection with the embodiment is included in at least one embodimentof the present principles. Thus, the appearances of the phrase “in oneembodiment” or “in an embodiment”, as well any other variations,appearing in various places throughout the specification are notnecessarily all referring to the same embodiment.

It is to be appreciated that the use of any of the following “/”,“and/or”, and “at least one of”, for example, in the cases of “A/B”, “Aand/or B” and “at least one of A and B”, is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of both options (A andB). As a further example, in the cases of “A, B, and/or C” and “at leastone of A, B, and C”, such phrasing is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of the third listedoption (C) only, or the selection of the first and the second listedoptions (A and B) only, or the selection of the first and third listedoptions (A and C) only, or the selection of the second and third listedoptions (B and C) only, or the selection of all three options (A and Band C). This may be extended, as readily apparent by one of ordinaryskill in this and related arts, for as many items listed.

Having described preferred embodiments of a system and method (which areintended to be illustrative and not limiting), it is noted thatmodifications and variations can be made by persons skilled in the artin light of the above teachings. It is therefore to be understood thatchanges may be made in the particular embodiments disclosed which arewithin the scope of the invention as outlined by the appended claims.Having thus described aspects of the invention, with the details andparticularity required by the patent laws, what is claimed and desiredprotected by Letters Patent is set forth in the appended claims.

1. A computer-implemented method, comprising: automatically monitoringone or more voice communication sessions occurring on multiplecommunication devices to transcribe into text, by a processor-basedvoice-to-text transcriber, voices uttered by two or more respectiveparticipants other than a user in each of the one or more voicecommunications sessions; comparing, for each of the one or more voicecommunication sessions, the topic of interest to conversation featuresderived from the text to detect a match there between; providing theuser with a summary of each of the one or more voice communicationsessions for which the match has been detected by said comparing step,the summary being based on the text; and automatically connecting theuser to at least one of the one or more voice communication sessions forwhich the summary thereof has been provided to the user.
 2. Thecomputer-implemented method of claim 1, wherein the user isautomatically connected to the at least one of the one or more voicecommunication sessions such that the user participates in only a subsetof an overall conversation in each of the at least one of the one ormore voice communication sessions.
 3. The computer-implemented method ofclaim 1, wherein the summary informs the user of the respectiveparticipants and other information relating to respective contents ofthe one or more voice communication sessions.
 4. Thecomputer-implemented method of claim 1, wherein said comparing stepfurther compares an agenda of each of the one or more voicecommunication sessions to the conversation features to determine thematch.
 5. The computer-implemented method of claim 1, wherein theconversation features comprise patterns, context, and sentiment of eachof the one or more voice communication sessions.
 6. Thecomputer-implemented method of claim 1, wherein the conversationfeatures are derived from the text using text analytics.
 7. Thecomputer-implemented method of claim 1, wherein the voices aretranscribed into the test using live natural language processing.
 8. Thecomputer-implemented method of claim 1, wherein the one or more voicecommunication sessions comprise two or more voice communicationsessions, and the method further comprises switching the user betweentwo or more of the voice communication sessions to allow the user toparticipate in only a respective discussion of the area of interest tothe user during the two or more voice communication sessions.
 9. Thecomputer-implemented method of claim 8, wherein the two or more of thevoice communication sessions at least partially overlap in time.
 10. Thecomputer-implemented method of claim 1, further comprising automaticallymonitoring the text for occurrences of the topic of interest therein.11. The computer-implemented method of claim 1, wherein the summary ofeach of the one or more voice communication sessions is provided to theuser using a communication medium selected from the group consisting ofan email message and a text message.
 12. A computer program product foruser notification in voice communications, the computer program productcomprising a non-transitory computer readable storage medium havingprogram instructions embodied therewith, the program instructionsexecutable by a computer to cause the computer to perform a methodcomprising: automatically monitoring one or more voice communicationsessions occurring on multiple communication devices to transcribe intotext, by a processor-based voice-to-text transcriber, voices uttered bytwo or more respective participants other than a user in each of the oneor more voice communications sessions; comparing, for each of the one ormore voice communication sessions, the topic of interest to conversationfeatures derived from the text to detect a match there between;providing the user with a summary of each of the one or more voicecommunication sessions for which the match has been detected by saidcomparing step, the summary being based on the text; and automaticallyconnecting the user to at least one of the one or more voicecommunication sessions for which the summary thereof has been providedto the user.
 13. The computer program product of claim 12, wherein theuser is automatically connected to the at least one of the one or morevoice communication sessions such that the user participates in only asubset of an overall conversation in each of the at least one of the oneor more voice communication sessions.
 14. The computer program productof claim 12, wherein said comparing step further compares an agenda ofeach of the one or more voice communication sessions to the conversationfeatures to determine the match.
 15. The computer program product ofclaim 12, wherein the voices are transcribed into the test using livenatural language processing.
 16. The computer program product of claim12, wherein the one or more voice communication sessions comprise two ormore voice communication sessions, and the method further comprisesswitching the user between two or more of the voice communicationsessions to allow the user to participate in only a respectivediscussion of the area of interest to the user during the two or morevoice communication sessions.
 17. The computer program product of claim16, wherein the two or more of the voice communication sessions at leastpartially overlap in time.
 18. The computer program product of claim 12,wherein the summary of each of the one or more voice communicationsessions is provided to the user using a communication medium selectedfrom the group consisting of an email message and a text message.
 19. Asystem, comprising: a server, having a processor, a memory, and anetwork adapter, the server being configured to: automatically monitorone or more voice communication sessions occurring on multiplecommunication devices to transcribe into text voices uttered by two ormore respective participants other than a user in each of the one ormore voice communications sessions; compare, for each of the one or morevoice communication sessions, the topic of interest to conversationfeatures derived from the text to detect a match there between; providethe user with a summary of each of the one or more voice communicationsessions for which the match has been detected by said comparing step,the summary being based on the text; and automatically connect the userto at least one of the one or more voice communication sessions forwhich the summary thereof has been provided to the user.
 20. The systemof claim 19, wherein the server is implementing using a cloudconfiguration.